BankLens — AI Bank Statement Analyzer
Expert AI financial analyst that breaks down
any bank statement instantly — no accountant
needed.
Upload your bank statement (PDF, CSV or TXT)
and get:
📊 Auto-categorized transactions (15 categories)
💰 Income vs expenses vs savings breakdown
❤️ Financial health score (Excellent/Good/Fair/Poor)
🔔 Anomaly & duplicate charge detection
💡 Smart savings & investment recommendations
📈 Monthly cash flow analysis
Works with ANY bank worldwide.
Supports: INR, USD, CNY, EUR, GBP, AED & more.
#Finanzen#Analyse
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Claude Haiku 4.5
🏦 BankLens — AI Bank Statement Analyzer
Instantly analyze any bank statement using AI.
Get spending breakdown, financial health score,
anomaly detection and smart recommendations.
What It Does
- 📊 Auto-categorizes all transactions (15 categories)
- 💰 Calculates total income vs expenses vs savings
- ❤️ Gives financial health score (Excellent/Good/Fair/Poor)
- 🔔 Detects duplicate charges & unusual transactions
- 📈 Shows spending breakdown with visual bars
- 💡 Gives smart savings & investment recommendations
- 🌍 Works with ANY bank worldwide
- 📄 Supports PDF, CSV & TXT file upload
Supported Currencies
| Currency | Country |
|---|---|
| ₹ INR | 🇮🇳 India |
| $ USD | 🇺🇸 USA |
| ¥ CNY | 🇨🇳 China |
| € EUR | 🇪🇺 Europe |
| £ GBP | 🇬🇧 UK |
| د.إ AED | 🇦🇪 UAE |
| S$ SGD | 🇸🇬 Singapore |
| 🌍 Any | Other countries |
Who It's For
- 👔 Salaried employees tracking monthly spending
- 💼 Small business owners managing cash flow
- 📊 Accountants doing bookkeeping & reconciliation
- 💻 Freelancers tracking income & expenses
- 👨👩👧 Families managing household budgets
- 📈 Anyone wanting to improve their finances
How It Works
- Select your currency
- Upload bank statement (PDF/CSV/TXT)
- Or paste transaction data directly
- Click Analyze — done in 10 seconds
Transaction Categories
| Category | Examples |
|---|---|
| 🏠 Rent/Housing | Rent, maintenance, mortgage |
| 🍔 Food & Dining | Restaurants, Swiggy, Zomato |
| 🛒 Shopping | Amazon, Flipkart, retail |
| ⛽ Transportation | Petrol, Uber, metro |
| ⚡ Utilities | Electricity, water, internet |
| 🎬 Entertainment | Movies, gaming, events |
| 💊 Healthcare | Pharmacy, hospital, doctor |
| 📚 Education | Courses, books, fees |
| 📈 Investments | Mutual funds, SIP, stocks |
| 💳 EMI/Loans | Loan repayments, credit card |
| 📺 Subscriptions | Netflix, Spotify, SaaS |
| 💰 ATM/Cash | Cash withdrawals |
| 🔄 Transfers | UPI, bank transfers |
Sample Output
| Metric | Value |
|---|---|
| Total Income | ₹85,000 |
| Total Expenses | ₹50,699 |
| Net Savings | ₹34,301 |
| Savings Rate | 40% ✅ |
| Financial Health | GOOD 💙 |
| Transactions | 11 |
Alert Types
| Alert | Meaning |
|---|---|
| 🚨 DANGER | Very low balance, possible fraud |
| ⚠️ WARNING | High spending, duplicate charges |
| ℹ️ INFO | Subscriptions detected, patterns found |
| ✅ SUCCESS | Good savings, investments detected |
Why Better Than Manual Review
| Manual | BankLens |
|---|---|
| Hours of spreadsheet work | Under 10 seconds |
| Easy to miss patterns | AI catches everything |
| No anomaly detection | Auto-flags duplicates |
| No recommendations | Smart financial advice |
| One currency only | Any currency worldwide |
Support
Questions? Email us — we respond within 24 hours.
